Overview
Remote
$0+
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
AWS
Bedrock
SageMaker
Lambda
OpenAI
Cognitive Services
ML Studio
API
Python
AI/ML
GCP
Azure OpenAI
GCP Vertex AI
Hugging Face Hub
Job Details
Role: AWS Bedrock AI Engineer/Architect
Location: Remote
JD:
- Strong experience with at least one major cloud AI/ML ecosystem: AWS (Bedrock, SageMaker, Lambda, Step Functions), Azure (OpenAI, Cognitive Services, ML Studio) or Google Cloud Platform (Vertex AI)
- Proficiency in Python for model integration and API development.
- Practical experience working with LLMs and familiarity with some of the following:
- Embeddings, RAG (Retrieval-Augmented Generation), Vector databases (Pinecone, Weaviate, FAISS), Frameworks like LangChain or similar
- Experience deploying AI/ML solutions into production or piloting generative AI applications in cloud or hybrid environments.
- Understanding of MLOps practices (model versioning, monitoring, CI/CD for ML) and willingness to apply them in GenAI contexts.
- Awareness of security, governance, and compliance considerations in cloud-based AI systems.
Set Yourself Apart With
- Prior experience delivering enterprise-level generative AI projects using AWS Bedrock.
- Knowledge of multi-cloud AI/ML services (Azure OpenAI, Google Cloud Platform Vertex AI, Hugging Face Hub).
- Contributions to open-source AI frameworks or published work on generative AI.
- Expertise in cost optimization and performance tuning for large-scale AI applications in AWS.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.